Turbulence at the Exascale Podcast I had the immense pleasure of being invited by Sylvain Laizet (from Imperial College, London) to be part of his Turbulence at the Exascale podcast! Very fun and inspiring conversation, where we talked about simulations, AI, interpretability of deep-learning models and many more topics:https://www.youtube.com/watch?v=6fssvdha6e0https://www.youtube.com/watch?v=6fssvdha6e0
Online Lecture on AI, CFD and sustainability I was delighted to speak with the #NVIDIA #AI #TechnologyCenter about #artificialintelligence, #CFD and #sustainability ! You can find the whole #lecture below!https://www.youtube.com/watch?v=uAejPGr4Ywc#machinelearning #computationalfluiddynamics #fluidmechanics #sdgs2030 #sdgsimpact
Webinar by Steven Brunton on machine learning and fluid mechanics Yesterday we had the second #seminar of the #AdvancedComputing and #machinelearning thematic area at Engineering Mechanics, KTH Royal Institute of Technology. We were delighted to have Steven Brunton with us, who gave a very exciting presentation and discussed the potential of #machinelearningmodels in #fluidmechanics!#ai #deeplearning #neuralnetworks #datadrivenYou can find the video here: https://play.kth.se/media/AC%26ML+Seminar+Steven+Brunton/0_7uu61efp Share this article Share on twitter Share …
How to use deep learning in fluid mechanics? If you are interested in applying deep-learning tools to fluid mechanics and turbulence, perhaps you can find good ideas in my 2020 seminar delivered for the Australasian Fluid Mechanics Series. Here we discuss how to use recurrent neural networks (RNNs) for temporal predictions in turbulence, and convolutional …
